Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques
The epilepsies are a heterogeneous group of neurological disorders and syndromes
characterised by recurrent, involuntary, paroxysmal seizure activity, which is often …
characterised by recurrent, involuntary, paroxysmal seizure activity, which is often …
Prediction of preterm deliveries from EHG signals using machine learning
There has been some improvement in the treatment of preterm infants, which has helped to
increase their chance of survival. However, the rate of premature births is still globally …
increase their chance of survival. However, the rate of premature births is still globally …
Right heart failure after left ventricular assist device placement: medical and surgical management considerations
FD Pagani - Cardiology Clinics, 2020 - cardiology.theclinics.com
Durable left ventricular assist device (LVAD) therapy is an increasingly accepted surgical
therapy for management of advanced heart failure (HF) refractory to guideline-directed …
therapy for management of advanced heart failure (HF) refractory to guideline-directed …
Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces
P Fergus, M Selvaraj, C Chalmers - Computers in biology and medicine, 2018 - Elsevier
Human visual inspection of Cardiotocography traces is used to monitor the foetus during
labour and avoid neonatal mortality and morbidity. The problem, however, is that visual …
labour and avoid neonatal mortality and morbidity. The problem, however, is that visual …
A Bayesian model to predict right ventricular failure following left ventricular assist device therapy
Objectives: This study investigates the use of a Bayesian statistical model to address the
limited predictive capacity of existing risk scores derived from multivariate analyses. This is …
limited predictive capacity of existing risk scores derived from multivariate analyses. This is …
Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
Background Visual inspection of cardiotocography traces by obstetricians and midwives is
the gold standard for monitoring the wellbeing of the foetus during antenatal care. However …
the gold standard for monitoring the wellbeing of the foetus during antenatal care. However …
A real-time artificial intelligence-assisted system to predict weaning from ventilator immediately after lung resection surgery
Assessment of risk before lung resection surgery can provide anesthesiologists with
information about whether a patient can be weaned from the ventilator immediately after …
information about whether a patient can be weaned from the ventilator immediately after …
A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality
Existing risk assessment tools for patient selection for left ventricular assist devices (LVADs)
such as the Destination Therapy Risk Score and HeartMate II Risk Score (HMRS) have …
such as the Destination Therapy Risk Score and HeartMate II Risk Score (HMRS) have …
An interpretable data-driven medical knowledge discovery pipeline based on artificial intelligence
S Wang, X Du, G Liu, H Xing, Z Jiao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Difficulty in knowledge validation is a significant hindrance to knowledge discovery via data
mining, especially automatic validation without artificial participation. In the field of medical …
mining, especially automatic validation without artificial participation. In the field of medical …
Assessment of the mid-life demographic and lifestyle risk factors of dementia using data from the framingham heart study offspring cohort
J Li, M Ogrodnik, VB Kolachalama… - Journal of Alzheimer's …, 2018 - content.iospress.com
Background: Dementia is the leading cause of dependence and disability in the elderly
population worldwide. However, currently there is no effective medication for dementia …
population worldwide. However, currently there is no effective medication for dementia …